Commercial logic should be visible
Catalog relationships, pricing policies, and approval conditions should be understandable to the people who own them—not hidden in disconnected files or opaque code.
About quortix.ai
Built by enterprise software veterans. Designed for modern revenue teams.
Our team has hands-on experience with SAP, FPX CPQ, SAP Commerce, Sitecore, Adobe Commerce, and Adobe Experience Manager implementations. We saw how easily long, painful projects and unnecessary business complexity can get in the way of commercial teams.
That is why we are building Quortix: an AI-native configure, price, quote platform for the twenty-first century. It gives RevOps and sales teams a visual, governed way to turn customer requirements into review-ready commercial work—without recreating yesterday’s implementation model.
Talk with our teamCommercial workspaceReviewable
01Customer requirement
02Valid configuration
03Governed pricing
04Review-ready quote
A clear path from customer need to commercial output—built on rules that teams can inspect, test, and evolve.
What guides us
Less commercial friction. More confident decisions.
Rules should connect the whole process
A valid quote depends on the same product, pricing, and workflow logic that downstream teams rely on. The system should carry that context forward.
AI should remain reviewable
External AI agents can help draft catalog changes and quotes over MCP, while people review visual diffs, rules, configurations, and commercial outputs before they are used.
How we work
Build with control in the loop.
Model the catalog, constraints, and commercial policies in one workspace.
Make relationships and change impact visible before a rule goes live.
Let AI agents propose work over MCP without bypassing established controls.
Keep human review at the moments where commercial judgment matters.